Linsel, A. ; Bär, K. ; Haas, J. ; Hornung, Jens ; Greb, M. ; Hinderer, Matthias (2020)
GeoReVi: A knowledge discovery and data management tool for subsurface characterization.
In: SoftwareX, 12
doi: 10.1016/j.softx.2020.100597
Artikel, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
Subsurface characterization is an interdisciplinary and multidimensional problem requiring contribution from numerous geoscientific and technical domains. In order to optimize and automate the process of subsurface characterization and structural modeling we developed a modular, open-source software system called GeoReVi (Geological Reservoir Virtualization). The tool implements the knowledge discovery in databases (KDD) process and utilizes techniques from visual analytics for interactive, interdisciplinary, database-bound knowledge discovery and communication. Multidimensional data sets – produced in subsurface and outcrop analog studies – can be imported, shared, transformed, projected, analyzed, modeled, grouped and visualized interactively in a custom-made graphical user interface. The underlying data model facilitates domain experts to efficiently work in multi-user environments. The knowledge discovery potential is illustrated with an exemplary case study.
Typ des Eintrags: | Artikel |
---|---|
Erschienen: | 2020 |
Autor(en): | Linsel, A. ; Bär, K. ; Haas, J. ; Hornung, Jens ; Greb, M. ; Hinderer, Matthias |
Art des Eintrags: | Bibliographie |
Titel: | GeoReVi: A knowledge discovery and data management tool for subsurface characterization |
Sprache: | Englisch |
Publikationsjahr: | 22 September 2020 |
Verlag: | Elsevier |
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | SoftwareX |
Jahrgang/Volume einer Zeitschrift: | 12 |
DOI: | 10.1016/j.softx.2020.100597 |
URL / URN: | http://www.sciencedirect.com/science/article/pii/S2352711020... |
Zugehörige Links: | |
Kurzbeschreibung (Abstract): | Subsurface characterization is an interdisciplinary and multidimensional problem requiring contribution from numerous geoscientific and technical domains. In order to optimize and automate the process of subsurface characterization and structural modeling we developed a modular, open-source software system called GeoReVi (Geological Reservoir Virtualization). The tool implements the knowledge discovery in databases (KDD) process and utilizes techniques from visual analytics for interactive, interdisciplinary, database-bound knowledge discovery and communication. Multidimensional data sets – produced in subsurface and outcrop analog studies – can be imported, shared, transformed, projected, analyzed, modeled, grouped and visualized interactively in a custom-made graphical user interface. The underlying data model facilitates domain experts to efficiently work in multi-user environments. The knowledge discovery potential is illustrated with an exemplary case study. |
Freie Schlagworte: | Visual analytics, Subsurface characterization, Spatial data mining, Knowledge discovery in databases |
Fachbereich(e)/-gebiet(e): | 11 Fachbereich Material- und Geowissenschaften 11 Fachbereich Material- und Geowissenschaften > Geowissenschaften 11 Fachbereich Material- und Geowissenschaften > Geowissenschaften > Fachgebiet Angewandte Geothermie 11 Fachbereich Material- und Geowissenschaften > Geowissenschaften > Fachgebiet Angewandte Sedimentgeologie |
Hinterlegungsdatum: | 12 Okt 2020 05:42 |
Letzte Änderung: | 03 Jul 2024 02:47 |
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Verfügbare Versionen dieses Eintrags
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GeoReVi: A knowledge discovery and data management tool for subsurface characterization. (deposited 09 Aug 2021 08:10)
- GeoReVi: A knowledge discovery and data management tool for subsurface characterization. (deposited 12 Okt 2020 05:42) [Gegenwärtig angezeigt]
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